Related Experiment Video
Updated: May 14, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
Published on: November 22, 2019
Leveraging technologies for data management and sharing to foster collaboration and implement data spaces.
Ioannis Chrysakis1,2,3, Gerasimos Antzoulatos4, Luis Sánchez5
1Netcompany S.A., Research and Innovation Development Department (RID), Luxembourg.
This study outlines requirements for European data spaces, focusing on data management and sharing challenges. It provides best practice recommendations for scalable, cross-domain data spaces supporting sustainable innovation.
Area of Science:
- Data Science
- Information Systems
- European Policy
Background:
- The European Strategy for Data promotes Common European Data Spaces to foster economic growth and data utilization.
- Data spaces are crucial for strategic sectors, requiring robust data management and sharing capabilities.
- Despite initiatives, data spaces face significant development and implementation challenges.
Purpose of the Study:
- To identify essential requirements for effective data management and sharing within European data spaces.
- To develop a conceptual framework for applying data management and sharing principles to data spaces.
- To evaluate practical solutions and identify best practices through analysis of European-funded projects.
Main Methods:
- Literature review to establish a conceptual framework for data management and sharing in data spaces.
- Analysis of six representative European-funded projects to assess practical implementation of proposed solutions.
- Evaluation of projects based on requirements including trust, business models, interoperability, workflow orchestration, energy efficiency, and data quality.
Main Results:
- Identified key requirements and prominent issues in data space development, covering trust, interoperability, and data quality.
- Highlighted widely accepted strategies like semantic standards, data catalogues, distributed ledger technologies, and federated identity management.
- Recognized recurring patterns, common practices, and implementation differences across projects, alongside open research gaps.
Conclusions:
- The study provides concrete recommendations for researchers and practitioners to achieve best practices in data space implementation.
- It aims to inform future initiatives towards scalable, stable, and cross-domain data spaces.
- The findings support sustainable innovation and long-term collaboration across Europe through mature data space ecosystems.
Related Concept Videos
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Levels of Use of a GIS
Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Manipulation and Analysis
Applications of GIS: Disaster Management and Emergency Response
Selected Data About Geographic Locations

